Advances in Distributed Computing and Machine Learning : Proceedings of ICADCML 2020

著者名：Tripathy, Asis Kumar (EDT)/Sarkar, Mahasweta (EDT)/Sahoo, Jyoti Prakash (EDT)/Li, Kuan-Ching (EDT)/Chinara, Suchismita (EDT)

Springer（2020/06/11発売）

• 言語：ENG
• ISBN：9789811542176
• eISBN：9789811542183

Description

This book presents recent advances in the field of distributed computing and machine learning, along with cutting-edge research in the field of Internet of Things (IoT) and blockchain in distributed environments. It features selected high-quality research papers from the First International Conference on Advances in Distributed Computing and Machine Learning (ICADCML 2020), organized by the School of Information Technology and Engineering, VIT, Vellore, India, and held on 30–31 January 2020.

Table of Contents

Customized Score-Based Security Threat Analysis in VANET.- Blackhole Detection and Mitigation Using Active Trust in Wireless Sensor Networks.- Power Allocation Based QoS Guarantees in Millimeter Wave Enabled Vehicular Communication.- A Multi-Objective Optimization Scheduling Algorithm in Cloud Computing.- Addressing Security and Computation Challenges in IoT Using Machine Learning.- Survey of Blockchain Applications in Database Security.- A Comparative Analysis of Accessibility and Stability of Different Networks.- Analysis and Prediction of the Survival of Titanic Passengers Using Machine Learning.- Rising Star Evaluation Using Statistical Analysis in Cricket.- A Comparative Study of Genetic Algorithm and Neural Network Computing Techniques Over Feature Selection.